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Record W4386250518 · doi:10.4324/9781003410089-39

Conversation across continents on hierarchies, human security and COVID-19

2023· book-chapter· en· W4386250518 on OpenAlexaboutno aff
Rosemary Joan Gowran, Eileen Daly, Natasha Layton, Ricky Buchanan, Diane Bell, Jody Lee van Heerden, D Price Nathan, Sureshkumar Kamalakannan

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsnot available
Fundersnot available
KeywordsConversationCoronavirus disease 2019 (COVID-19)GeographySociologyCommunicationMedicineInfectious disease (medical specialty)Disease

Abstract

fetched live from OpenAlex

Life as we knew it has changed with the COVID-19 global pandemic disrupting every nation. Navigating engagement in daily living entails shifts in habits, roles and routines. The sense of self is reimagined, challenged and reflected upon, cradled within health and social care systems masking human rights and social justice. For some there is freedom, calmness, greater connectivity and collegiality, and for others, there is entrapment, fear, disorientation, emotional distress, occupational deprivation and isolation. This chapter explores daily living disruption by engaging scholars from across five continents in co-designing through conversation, by discussing individual and collective experiences of disability hierarchies and human security during the COVID-19 pandemic. Consideration is given to the heterogeneity of lives and in-country contexts (Australia, India, Africa, Ireland and Canada). Perspectives from experts through lived experiences and academics are shared, drawing on human rights, capability and disability theories; global health and COVID-19 policy; and author observations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.751
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.078
GPT teacher head0.392
Teacher spread0.314 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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